Product | Pillar 4/5 Strategy and Intelligence | Delivered by Ullr
RiskIQ
Live Monte Carlo cost and schedule risk. AACE contingency grounding.
Probabilistic cost and schedule analytics that replace single-point optimism with defensible ranges. No point estimates without a distribution.
The problem
On 300+ megaprojects studied by McKinsey the average cost overrun is 80 percent. Deterministic contingency percentages did not stop that. Quantified risk, run continuously rather than once at sanction, does change the conversation.
What it delivers
Monte Carlo simulation
On cost and schedule, integrated with your live risk register rather than a one-off sanction exercise.
P50 / P80 / P90 forecasts
Stated confidence intervals on every number. No point estimates without a distribution.
QCRA and QSRA
Quantitative cost and schedule risk analysis with AACE contingency grounding.
Sensitivity and tornado analysis
Which risks actually drive the outcome, ranked, so mitigation spend lands where it matters.
Risk registers that work
Scoring, ownership and mitigation tracking that stays current because the analytics depend on it.
Proof
The Jwaneng Underground assurance engagement ran parallel AACE-anchored Monte Carlo across 21 independent consultant streams. DCMA 13/13, 32 percent productivity saving, and a human signed the result.
Named-human accountability
Every deliverable carries a named signatory. The platform drafts, tests and cross-checks. The person above the signature line owns the outcome.
Data sovereignty
Your project data stays on Faolan-controlled infrastructure and never trains shared models. Audit trail under NDA.